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Reasoning about Prolog programs: From modes through types to assertions

Overview of attention for article published in Formal Aspects of Computing, April 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#18 of 132)
  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
7 Mendeley
citeulike
1 CiteULike
Title
Reasoning about Prolog programs: From modes through types to assertions
Published in
Formal Aspects of Computing, April 2015
DOI 10.1007/bf01213601
Authors

Krzysztof R. Apt, Elena Marchiori

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Professor > Associate Professor 2 29%
Professor 1 14%
Student > Ph. D. Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 6 86%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2012.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Formal Aspects of Computing
#18
of 132 outputs
Outputs of similar age
#97,492
of 279,761 outputs
Outputs of similar age from Formal Aspects of Computing
#1
of 5 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 132 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 279,761 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them